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IDENTIFICATION METHOD OF THE FOREST WITH SUPERIOR FUNCTION FOR THE WATER RECHARGE AND ITS SYSTEM

机译:森林造型方法具有卓越的水充电功能及其系统

摘要

The present invention comprises the steps of: (a) measuring a volumetric moisture content according to at least two or more metric moisture tensions for a soil sample collected from a specific grid; (b) Parameters for applying the random forest model by driving the simulator program using the measured metric moisture tension and volumetric moisture content obtaining estimates of , a, n, m; (c) said parameters , estimating optimal hyperparameters of the random forest model using the estimated values of a, n, and m and input variables, and performing model learning; (d) the parameters of the following equation (1) through the trained random forest model , deriving predicted values of a, n, m; (e) said parameters , a, n, producing a forest water map by calculating a predicted value of the volumetric moisture content for each metric moisture tension using Equation 1 determined by the predicted values; (f) calculating the difference in the volumetric moisture content for each moisture tension of the metric, evaluating it as a water source nourishing function, and determining that the water source nourishing function is excellent if it falls within a certain range; and (g) displaying the forest determined to have excellent water source cultivation function as a map as a result of the determination of step (f). provides
机译:本发明包括以下步骤:(a)根据从特定网格收集的土壤样品的至少两个或更多个度量的水分张力测量体积含水量; (b)通过使用测量的度量水分张力驱动模拟器程序来应用随机森林模型的参数,并获得A,N,M的估计值。 (c)说参数,使用估计值A,N和M和M和INPUT变量的值估计随机林模型的最佳超参数,并执行模型学习; (d)通过训练有素的随机林模型的以下等式(1)的参数,导出a,n,m的预测值; (e)通过通过预测值确定的等式1计算每个度量水分张力的容积湿度张力的预测值,通过通过预测值确定的等式1来制造森林水平的参数。 (f)计算度量的每个湿度张力的体积含量含量的差异,评估其作为水源营养函数,并且如果它在一定范围内落下时,水源营养效益优异; (g)显示森林的森林作为阶梯(f)的确定具有优异的水源栽培功能作为地图。提供

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